Analysis and Design of Complex Networks

Abstract

The goals of this project are to improve the understanding of multi-scale Features of networks and to use that understanding to developed improved protocols. The theoretical contributions of this work include sparse models of long-range dependency in network, a stochastic approximation theory for long range dependent processes, techniques to learn the characteristics of losses in wireless networks, stochastic gradient algorithms for wireless ad hoc networks, sampling techniques to estimate the features of complex graphs, and improved models of transmission protocols. The practical contributions include media access control algorithms for maximum throughput in ad hoc networks, protocols for higher throughput and lower delays in WiFi, protocols for generating secret keys in wireless networks.

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Document Details

Document Type
Technical Report
Publication Date
Dec 02, 2014
Accession Number
ADA622613

Entities

People

  • Avideh Zakhor
  • Don Towsley
  • Jean Walrand
  • John M. Doyle
  • R. Srikant
  • Steven H. Low
  • Venkat Anantharam
  • Weibo Gong

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Algorithms
  • Computer Networks
  • Data Centers
  • Differential Equations
  • Electronic Commerce
  • Equations
  • Information Science
  • Information Theory
  • Internet
  • Mesh Networks
  • Network Science
  • Network Topology
  • Probability
  • Random Variables
  • Students
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Acoustical Oceanography.
  • Computer Networking